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Conclusions

  • Claudia I. GonzalezEmail author
  • Patricia Melin
  • Juan R. Castro
  • Oscar Castillo
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

In general, this work leads to the conclusion that the use of generalized type-2 fuzzy systems can be a good choice when there is a high level of uncertainty in the problem. In other words, generalized type-2 fuzzy logic allows for better modeling of uncertainty, because it gives more degrees of freedom in comparison to interval type-2 and type-1 fuzzy logic. The complex nature of the uncertainty encountered in the real world indicates that generalized type-2 is needed in real-world devices and applications, in particular in the image processing area that is the case study in this book, because the devices that capture digital images are always exposed to external interference adding high noise levels or uncertainty to the images.

Copyright information

© The Author(s) 2017

Authors and Affiliations

  • Claudia I. Gonzalez
    • 1
    Email author
  • Patricia Melin
    • 2
  • Juan R. Castro
    • 1
  • Oscar Castillo
    • 2
  1. 1.School of EngineeringUniversity of Baja CaliforniaTijuanaMexico
  2. 2.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico

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